The log analytics capability is being given as a cloud-based and value-added service by various cloud service providers (CSPs). The Microsoft Azure cloud provides the log analytics service to its users/subscribers by constantly monitoring both cloud and on-premises environments to take correct decisions that ultimately ensure their availability and performance. This unique service collects all kinds of log data that's generated by a user's cloud servers, workloads, and databases. Similarly, it does the same for various resources at a user's on-premises environments. There are monitoring tools being employed in various users environments to facilitate tactical as well as strategically sound analysis. The Azure cloud has its own monitoring mechanism in place through its Azure monitor, which collects and meticulously analyze log data emitted by various Azure resources. The log analytics feature of the Azure cloud considers the monitoring data and correlates with other relevant data to supply additional insights. 

The same capability is also made available for private cloud environments. It can collect all types of log data through various tools from multiple sources and consolidate them into a single and centralized repository. Then, the suite of analysis tools in log analytics, such as log searches and views a collaborate with one another to provide you with centralized insights of your entire environment. The macro-level architecture is given here:

This service is being given by other cloud service providers. AWS is one of the well-known providers. Oracle log analytics monitors, aggregates, indexes, and analyzes all logs from your applications and infrastructures. This enables users to search, explore, and correlate the logs to troubleshoot problems faster, derive operational insights, and make timely and better decisions. IBM empowers DevOps teams by aggregating application and environment logs and extrapolating right insights. The IBM log analytics can retain log data for a longer time and help to quickly detect and troubleshoot persistent issues. The paramount contributions of log analytics tools include the following:  

• Infrastructure monitoring: Log analytics platforms easily and quickly analyze logs from bare metal (BM) servers and network solutions, such as firewalls, load balancers, application delivery controllers, CDN appliances, storage systems, virtual machines, and containers.

• Application performance monitoring: The analytics platform captures application logs, which are streamed live and takes the assigned performance metrics for doing real-time analysis and debugging.
• Security and compliance: The service provides an immutable log storage, centralization, and reporting to meet compliance requirements. It has deeper monitoring and decisive collaboration for extricating useful and usable insights.